{"id":6738,"date":"2026-04-13T09:34:39","date_gmt":"2026-04-13T01:34:39","guid":{"rendered":"\/math\/?post_type=tkuisotope&#038;p=6738"},"modified":"2026-04-14T16:53:15","modified_gmt":"2026-04-14T08:53:15","slug":"115-04-28-%e7%8e%8b%e9%a6%a8%e5%be%bd%e6%95%99%e6%8e%88%e5%8c%97%e4%ba%ac%e5%a4%a7%e5%ad%b8-%e5%8c%af%e8%b1%90%e5%95%86%e5%ad%b8%e9%99%a2","status":"publish","type":"tkuisotope","link":"\/math\/?tkuisotope=115-04-28-%e7%8e%8b%e9%a6%a8%e5%be%bd%e6%95%99%e6%8e%88%e5%8c%97%e4%ba%ac%e5%a4%a7%e5%ad%b8-%e5%8c%af%e8%b1%90%e5%95%86%e5%ad%b8%e9%99%a2","title":{"rendered":"115\/04\/28  Sequential Monitoring of Financial Stability \u201dStrengthening resilience in an interconnected financial world\u201d  \u738b\u99a8\u5fbd\u6559\u6388(\u5317\u4eac\u5927\u5b78 \u532f\u8c50\u5546\u5b78\u9662)"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p><strong>\u4e3b\u8b1b\u4eba\uff1a\u738b\u99a8\u5fbd \u6559\u6388(\u5317\u4eac\u5927\u5b78 \u532f\u8c50\u5546\u5b78\u9662)<\/strong><\/p>\n\n\n\n<p><strong>\u984c &nbsp;\u76ee\uff1aSequential Monitoring of Financial Stability \u201dStrengthening resilience in an interconnected financial world\u201d<\/strong><\/p>\n\n\n\n<p>\u65e5&nbsp; \u671f\uff1a115\u5e744\u670828\u65e5\uff08\u661f\u671f\u4e8c\uff09<\/p>\n\n\n\n<p><strong>\u6642&nbsp; \u9593\uff1a\u4e0b\u534813:10 ~ 14:00<\/strong><\/p>\n\n\n\n<p><strong>\u5730&nbsp; \u9ede\uff1a\u79d1\u5b78\u9928S433<\/strong><\/p>\n\n\n\n<p><strong>\u6458\u8981<\/strong><strong>Abstract:<\/strong><\/p>\n\n\n\n<p>This research proposes a sequential monitoring cumulative sum of squares (CUSQ)-type test for monitoring the U.S. Monetary transmission to the global financial stability via an autoregressive (AR) approximation of a mixed panel It is easy to use owing to that its limiting distribution follows a Brownian Bridge. That implies this method is free from model parameters, the bootstrap procedure and long run variance framework, even the exact form of each series of this panel is unknown and different across each of them. Spurious breaks found by conventional retrospective tests could be thus mitigated. In addition, our test statistics does not include factor schemes and the misleading outcomes caused by the issues of the spurious number of common factors and resulting estimation errors could be improved by the AR approximation. Monte Carlo simulations confirm the promising finite sample performance of our sequential monitoring test with various data generating processes. We further apply our test to examine the sequential on-line patterns in the relationship between the global systemic risk and monetary policy under an extension of Bernanke and Kuttner (2005)\u2019s circumstance by using the event-study approach. Empirical evidence shows that the likely dates on which the structure of the relationship breaks are identified and consistent with the timing of common events occurrence. In brief, this study provides a guideline for policymakers in reducing losses from market risk and sequentially checking the monetary policy efficiency.<\/p>\n\n\n\n<p><strong>\u5099 &nbsp;\u8a3b\uff1a\u672c\u696d\u52d9\u8207\u806f\u5408\u570b\u6c38\u7e8c\u767c\u5c55\u76ee\u6a19SDG4\u512a\u8cea\u6559\u80b2\u9023\u7d50<\/strong><\/p>\n\n\n\n<p><strong>ESG+AI=<\/strong><strong>\u221e&nbsp; AI+SDGs=\u221e<\/strong><\/p>\n\n\n\n<p><\/p>\n","protected":false},"template":"","meta":[],"categories":[9],"tags":[],"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable":"<p>\u4e3b\u8b1b\u4eba\uff1a\u738b\u99a8\u5fbd \u6559\u6388(\u5317\u4eac\u5927\u5b78 \u532f\u8c50\u5546\u5b78\u9662) \u984c &nbsp;\u76ee\uff1aSequential Monitoring of Financial Stability \u201dStrengthening resilience in an interconnected financial world\u201d \u65e5&nbsp; \u671f\uff1a115\u5e744\u670828\u65e5\uff08\u661f\u671f\u4e8c\uff09 \u6642&nbsp; \u9593\uff1a\u4e0b\u534813:10 ~ 14:00 \u5730&nbsp; \u9ede\uff1a\u79d1\u5b78\u9928S433 \u6458\u8981Abstract: This research proposes a sequential monitoring cumulative sum of squares (CUSQ)-type test for monitoring the U.S. Monetary transmission to the global financial stability via an autoregressive (AR) approximation of a mixed panel It is easy to use owing to that its limiting distribution follows a Brownian Bridge. That implies this method is free from model parameters, the bootstrap procedure and long run variance framework, even the exact form of each series of this panel is&hellip;<\/p>\n","category_list":"<a href=\"\/math\/?cat=9\" rel=\"category\">News<\/a>","author_info":{"name":"","url":""},"comments_num":"0 comments","acf":[],"_links":{"self":[{"href":"\/math\/index.php?rest_route=\/wp\/v2\/tkuisotope\/6738"}],"collection":[{"href":"\/math\/index.php?rest_route=\/wp\/v2\/tkuisotope"}],"about":[{"href":"\/math\/index.php?rest_route=\/wp\/v2\/types\/tkuisotope"}],"wp:attachment":[{"href":"\/math\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/math\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6738"},{"taxonomy":"post_tag","embeddable":true,"href":"\/math\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}